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HGX: Un Material Cuántico Regenerativo Autorreparable y Multifuncional para una nueva era Tecnológica
HGX is presented as a multifunctional, self-healing quantum-regenerative material claimed to improve batteries, optical fibers, quantum chips, and HL-LHC technologies.
Rotary 4D Printing of Programmable Metamaterials on Sustainable 4D Mandrel
A rotary 4D printing workflow fabricates modular, multi-material programmable mechanical metamaterials on a shape-morphing mandrel, enabling programmable stiffness and multi-DOF shape recovery.
Flexible multi-band metamaterial absorber with polarization-insensitive electromagnetic stealth
This research presents a flexible electromagnetic metamaterial absorber with high absorption rates and polarization insensitivity, suitable for advanced communication and stealth applications.
PROGRAMMABLE MATTER AND RECONFIGURABLE STRUCTURES USING FIELD-CONTROLLED METAMATERIALS
This research explores a universal platform for programmable metamaterials that can dynamically respond to magnetic and electric fields, enhancing stiffness and wave control.
Quasi-static shape control of soft, morphing structures
A general quasi-static shape-control framework for soft morphing structures is developed, analyzing how large deformations and compliance affect equilibrium topology and stability, illustrated with a snap-through-prone Kirchhoff rod.
2D-to-3D transformation of ring origami via snap-folding instabilities
By adding out-of-plane natural curvature to ring-origami rods, 2D rings can spontaneously snap into designed 3D equilibrium shapes with controllable mono- or multistability.
Incorporating extended neck Helmholtz resonators into an advanced multi-degree of freedom acoustic metamaterial for low-frequency, broadband acoustic absorption
An advanced multi-degree-of-freedom acoustic metamaterial is designed by incorporating extended neck Helmholtz resonators to target low-frequency, broadband sound absorption.
A Graph Neural Network based deep learning framework for predicting the thermomechanical behavior of thermoset shape memory polymers
A graph neural network deep learning framework is proposed for predicting the thermomechanical behavior of thermoset shape-memory polymers.
Interpretable SHAP-bounded Bayesian optimization for underwater acoustic metamaterial coating design
An interpretability-informed Bayesian optimization method uses SHAP to refine design-space bounds and improve underwater acoustic metamaterial coating designs without extra simulations.
Effect of Atomic Ordering of DO3 Precipitates on Superelasticiy and Functional Fatigue of Iron-Based Shape Memory Alloy FeMnAlNiTi
The study links atomic ordering of DO3 precipitates in FeMnAlNiTi shape memory alloy to enhanced superelasticity and functional fatigue resistance.
Hygromnemics: Programmable Material Memory Matter Actuators via Wet Pre‐Constraining
Hygromnemic actuators utilize humidity to store and program shape memory, enabling innovative soft robotic applications.
Study on Acoustic Metamaterial Unit Cells: Acoustic Absorption Characteristics of Novel Tortuously Perforated Helmholtz Resonator with Consideration of Elongated Acoustic Propagation Paths
A perforated, tortuous Helmholtz-resonator unit cell is modeled and optimized to extend acoustic path length and improve low-frequency broadband sound absorption for duct mufflers.
Physics-Informed Neural Networks for Programmable Origami Metamaterials with Controlled Deployment
A data-free physics-informed neural network enables inverse design of conical Kresling origami metamaterials with programmable multistable energy barriers and controlled, sequential deployment validated on prototypes.
Comparison of derivative-free and gradient-based minimization for multi-objective compositional design of shape memory alloys
Using physics-informed ML surrogates and optimization, gradient-based TRUST-CONSTR paired with a neural network more consistently finds SMA compositions that balance martensitic start temperature and cost than derivative-free COBYLA.
Gear acoustic metamaterial bandgap sound insulation characteristics and optimized design
A gear acoustic metamaterial is optimized (via genetic algorithm) to widen its acoustic bandgap, yielding broadband noise reduction with experimentally reported ~29.6 dB insulation in the band.
Small Molecular π‐Systems Derived Photoresponsive Supramolecular Materials
This review highlights the potential of small molecular π-systems in creating photoresponsive supramolecular materials for smart applications.
Numerical Study on Shape Recovery Behaviors of Shape Memory Polymer Composite Hinges Considering Hysteresis Effect
A hysteresis-inclusive constitutive model for SMPC hinges enables finite element prediction of recovered configurations and identifies design factors to improve shape recovery ratio.
Acoustic Wavefront Shaping Using Ultrahigh Phase Resolution Metamaterial
A transmissive acoustic metamaterial unit cell with a rotated bilateral symmetrical T-shaped structure provides high phase-delay resolution for sound focusing and steering.